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Imago is an image manipulation library for Common Lisp. It supports images in png, pcx, portable bitmap (.pnm), Truevision TGA (.tga) and jpeg formats. You can read an image with imago:read-image and write an image with imago:write-format where format is one of png, pcx, pnm, tga or jpg.

Reading from and writing to jpeg files with libjpeg-turbo

You can use more advanced libjpeg-turbo library to deal with jpeg files by loading imago/jpeg-turbo system. Make sure that libjpeg-turbo is installed on your system. Use imago-jpeg-turbo:read-jpg-turbo and imago-jpeg-turbo:write-jpg-turbo functions (or just imago:read-image and imago:write-image) to use this functionality.

Alternative png I/O with imago/pngio

You can use more advanced and faster pngload library to read png files by loading imago/pngio system. Use imago-pngio:read-png (or just imago:read-image) to use this functionality. NB: pngload automatically converts indexed color images to RGB (or ARGB) images. If you want to work with indexed images, use old png loader instead. Also zpng (via imago-pngio:write-png) library will be used for saving png images.

Creating an image

To create an image look at the documentation for image classes (like imago:rgb-image or imago:grayscale-image). You need to make an instance of one of those classes by passing :w, :h and optionally :initial-color keyword arguments to make-instance. Alternatively, you can use make-XXX-image and make-XXX-image-from-pixels functions:

;; Create 100x100 px black grayscale image
(imago:make-grayscale-image 100 100)

;; Create 400x100 px red RGB image
(imago:make-rgb-image 400 100 (imago:make-color 255 0 0))

;; Create 400x100 px half-transparent red RGB image
(imago:make-rgb-image 400 100 (imago:make-color 255 0 0 127))

;; Create an image from an array of pixels
(imago:make-rgb-image-from-pixels
 (make-array '(100 100)
             :element-type 'imago:rgb-pixel
             :initial-element (imago:make-color 0 255 255)))

Usage examples

Most of the examples are taken from here.

Resizing an image

(resize *image* 400 150)

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Rotating an image

(rotate *image* 45)

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Applying an emboss effect

(emboss *image* :angle (* pi 0.75) :depth 1.0)

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Using a custom convolution kernel

(let ((kernel #2A((0  0  0  0  0)
                  (0  0  1  0  0)
                  (0  1 -4  1  0)
                  (0  0  1  0  0)
                  (0  0  0  0  0))))
  (convolve *image* kernel 1 0))
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Inverting a rectangular region

(do-region-pixels (*image* color x y 70 65 140 125)
  (setf color (invert-color color)))
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Adjusting contrast of a grayscale image

(enhance-contrast *grayscale-image*)
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Manipulating color components

(do-image-pixels (*image* color x y)
  (multiple-value-bind (r g b) (color-rgb color)
    (setf color (make-color b
                            (floor (* g 0.8))
                            r))))
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Composing pictures

(let ((operator (default-compose-operator *image1*)))
  (compose nil *image1* *image2* 20 20 operator))
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Drawing simple primitives

(let ((points '(83 45 73 150 73 150 198 106 198 106 83 45)))
  (draw-polygon *image* points +white+ :closed t))
(draw-circle *image* 83 45 15 +white+)
(draw-circle *image* 73 150 15 +white+)
(draw-circle *image* 198 106 15 +white+)
(draw-bezier-curve *image* 10 80 150 60 100 170 200 170 +red+)
(draw-line *image* 0 5 254 5 +yellow+)
(draw-line *image* 0 10 254 10 +yellow+ :dash-length 1 :dash-interval 1)
(draw-line *image* 0 15 254 15 +yellow+ :dash-length 4 :dash-interval 2)
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A more complex example

(defun sea-view (image)
  (let ((image2 (flip nil image :horizontal)))
    (do-image-pixels (image2 color x y)
      (multiple-value-bind (r g b)
          (color-rgb color)
        (setf color (make-color (floor r 3) (floor g 3) (floor b 2)))))
    (let* ((width (image-width image))
           (height (image-height image))
           (result (make-instance (class-of image)
                                  :width width :height (* height 2))))
      (copy result image)
      (copy result image2 :dest-y height)
      result)))
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Connected components labeling

This example requires snakes and array-operations systems (available in quicklisp).

(defpackage components-example
  (:use #:cl
        #:snakes
        #:imago)
  (:export #:convert-to-image))
(in-package :components-example)

(defgenerator generate-colors ()
  (loop while t do
    (yield (make-color (random 256)
                       (random 256)
                       (random 256)))))

(defgenerator black ()
  (yield (make-color 0 0 0)))

(defun convert-to-image (components)
  (declare (type (simple-array fixnum (* *)) components))
  (let ((colors (take (1+ (reduce #'max (aops:flatten components)))
                      (chain (black)
                             (generate-colors))))
        (image (make-array (array-dimensions components)
                           :element-type 'rgb-pixel)))
    (array-operations/utilities:nested-loop (i j)
        (array-dimensions components)
      (setf (aref image i j)
            (nth (aref components i j) colors)))
    (make-instance 'rgb-image :pixels image)))

(in-package :cl-user)
(let* ((image (imago:read-image "~/.quicklisp/local-projects/imago/tests/spheres.png"))
       (components (imago:label-components (imago:convert-to-binary image 1))))
  (components-example:convert-to-image components))
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Distance transform

Calculating squared Euclidean distance transform (also Manhattan distance transform is available). This example requires array-operations.

(defun edt-image (image)
  (declare (type imago:binary-image image))
  (let* ((dt (imago:distance-transform image :type :edt))
         (max (reduce #'max (aops:flatten dt)))
         (pixels (make-array (array-dimensions dt) :element-type 'imago:grayscale-pixel)))
    (map-into (aops:flatten pixels)
              (lambda (x) (imago:make-gray (floor (* 255 x) max)))
              (aops:flatten dt))
    (make-instance 'imago:grayscale-image :pixels pixels)))

(edt-image original-image)
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Intergation with common-lisp-jupyter

You can view imago images in Jupyter by installing imago/jupyter system. Then call imago-jupyter:show-image function to show an image.

Jupyter example